A Proposal of IndoorGML Extended Data Model for Pedestrian-Oriented Voice Navigation System
A Proposal of IndoorGML Extended Data Model for Pedestrian-Oriented Voice Navigation System
复制标题
面向行人的语音导航系统IndoorGML扩展数据模型的提出
DOI：
10.1145/2800835.2800940
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Nobuo Kawguchi
中科院分区：
文献类型：
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作者：
Hirokazu Iida;Kei Hiroi;Katsuhiko Kaji ;Nobuo Kawguchi
特定地点的通过事件是位置估计的有用信息之一。如果我们能够检测到特定点的通过，我们可以为位置估计领域做出贡献，因为它可以用于运动路线识别，以及位置估计误差的修正。我们建议使用磁铁来检测行人通道。我们制作特征磁场作为标记。我们通过智能手机上的标记来检测行人通道。我们通过旋转磁铁产生磁场标记。我们可以通过以不同频率旋转两块磁体来获得通道方向。当磁铁与智能手机之间的距离小于75cm时，探测通道的准确率为100%，探测通道方向的准确率为94%。
The passage event on the specific spot is one of the useful information for position estimate. If we can detect the passage of the specific spot, we could contribute to the field of the position estimate because it is available for movement course identification, and the correction of the position estimate error. We suggest pedestrian passage detection methods by using magnets. We make the characteristic magnetic field as a marker. We detect the pedestrian passage by reading a marker by a smartphone device. We generate a magnetic field marker by rotating magnets. We can acquire a passage direction by rotating two magnets at different frequencies. We can detect a passage with an accuracy rate of 100 percent and a passage direction with an accuracy rate of 94 percent when the distance between magnets and a smartphone is less than 75cm.